{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data analyst agent: get your data's insights in the blink of an eye ✨\n",
    "_Authored by: [Aymeric Roucher](https://huggingface.co/m-ric)_\n",
    "\n",
    "> This tutorial is advanced. You should have notions from [this other cookbook](agents) first!\n",
    "\n",
    "In this notebook we will make a **data analyst agent: a Code agent armed with data analysis libraries, that can load and transform dataframes to extract insights from your data, and even plots the results!**\n",
    "\n",
    "Let's say I want to analyze the data from the [Kaggle Titanic challenge](https://www.kaggle.com/competitions/titanic) in order to predict the survival of individual passengers. But before digging into this myself, I want an autonomous agent to prepare the analysis for me by extracting trends and plotting some figures to find insights.\n",
    "\n",
    "Let's set up this system. \n",
    "\n",
    "Run the line below to install required dependancies:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install seaborn smolagents transformers -q -U"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We first create the agent. We used a `CodeAgent` (read the [documentation](https://huggingface.co/docs/smolagents/tutorials/secure_code_execution) to learn more about types of agents), so we do not even need to give it any tools: it can directly run its code.\n",
    "\n",
    "We simply make sure to let it use data science-related libraries by passing these in `additional_authorized_imports`: `[\"numpy\", \"pandas\", \"matplotlib.pyplot\", \"seaborn\"]`.\n",
    "\n",
    "In general when passing libraries in `additional_authorized_imports`, make sure they are installed on your local environment, since the python interpreter can only use libraries installed on your environment.\n",
    "\n",
    "⚙ Our agent will be powered by [meta-llama/Llama-3.1-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct) using `HfApiModel` class that uses HF's Inference API: the Inference API allows to quickly and easily run any open model, for free!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from smolagents import InferenceClientModel, CodeAgent\n",
    "from huggingface_hub import login\n",
    "import os\n",
    "\n",
    "login(os.getenv(\"HUGGINGFACEHUB_API_TOKEN\"))\n",
    "\n",
    "model = InferenceClientModel(\"meta-llama/Llama-3.1-70B-Instruct\")\n",
    "\n",
    "agent = CodeAgent(\n",
    "    tools=[],\n",
    "    model=model,\n",
    "    additional_authorized_imports=[\"numpy\", \"pandas\", \"matplotlib.pyplot\", \"seaborn\"],\n",
    "    max_iterations=10,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data analysis 📊🤔\n",
    "\n",
    "Upon running the agent, we provide it with additional notes directly taken from the competition, and give these as a kwarg to the `run` method:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "os.mkdir(\"./figures\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">You are an expert data analyst.</span>                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Please load the source file and analyze its content.</span>                                                            <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">According to the variables you have, begin by listing 3 interesting questions that could be asked on this data,</span> <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">for instance about specific correlations with survival rate.</span>                                                    <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Then answer these questions one by one, by finding the relevant numbers.</span>                                        <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Meanwhile, plot some figures using matplotlib/seaborn and save them to the (already existing) folder </span>           <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">'./figures/': take care to clear each figure with plt.clf() before doing another plot.</span>                          <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">In your final answer: summarize these correlations and trends</span>                                                   <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">After each number derive real worlds insights, for instance: \"Correlation between is_december and boredness is </span> <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">1.3453, which suggest people are more bored in winter\".</span>                                                         <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Your final answer should have at least 3 numbered and detailed parts.</span>                                           <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">You have been provided with these additional arguments, that you can access using the keys as variables in your</span> <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">python code:</span>                                                                                                    <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">{'additional_notes': '\\n### Variable Notes\\npclass: A proxy for socio-economic status (SES)\\n1st = Upper\\n2nd =</span> <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Middle\\n3rd = Lower\\nage: Age is fractional if less than 1. If the age is estimated, is it in the form of </span>      <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">xx.5\\nsibsp: The dataset defines family relations in this way...\\nSibling = brother, sister, stepbrother, </span>      <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">stepsister\\nSpouse = husband, wife (mistresses and fiancés were ignored)\\nparch: The dataset defines family </span>    <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">relations in this way...\\nParent = mother, father\\nChild = daughter, son, stepdaughter, stepson\\nSome children </span> <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">travelled only with a nanny, therefore parch=0 for them.\\n', 'source_file': 'titanic/train.csv'}.</span>               <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ HfApiModel - meta-llama/Llama-3.1-70B-Instruct ────────────────────────────────────────────────────────────────╯</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mYou are an expert data analyst.\u001b[0m                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mPlease load the source file and analyze its content.\u001b[0m                                                            \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mAccording to the variables you have, begin by listing 3 interesting questions that could be asked on this data,\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mfor instance about specific correlations with survival rate.\u001b[0m                                                    \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mThen answer these questions one by one, by finding the relevant numbers.\u001b[0m                                        \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mMeanwhile, plot some figures using matplotlib/seaborn and save them to the (already existing) folder \u001b[0m           \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m'./figures/': take care to clear each figure with plt.clf() before doing another plot.\u001b[0m                          \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mIn your final answer: summarize these correlations and trends\u001b[0m                                                   \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mAfter each number derive real worlds insights, for instance: \"Correlation between is_december and boredness is \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m1.3453, which suggest people are more bored in winter\".\u001b[0m                                                         \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mYour final answer should have at least 3 numbered and detailed parts.\u001b[0m                                           \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mYou have been provided with these additional arguments, that you can access using the keys as variables in your\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mpython code:\u001b[0m                                                                                                    \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m{'additional_notes': '\\n### Variable Notes\\npclass: A proxy for socio-economic status (SES)\\n1st = Upper\\n2nd =\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mMiddle\\n3rd = Lower\\nage: Age is fractional if less than 1. If the age is estimated, is it in the form of \u001b[0m      \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mxx.5\\nsibsp: The dataset defines family relations in this way...\\nSibling = brother, sister, stepbrother, \u001b[0m      \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mstepsister\\nSpouse = husband, wife (mistresses and fiancés were ignored)\\nparch: The dataset defines family \u001b[0m    \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mrelations in this way...\\nParent = mother, father\\nChild = daughter, son, stepdaughter, stepson\\nSome children \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mtravelled only with a nanny, therefore parch=0 for them.\\n', 'source_file': 'titanic/train.csv'}.\u001b[0m               \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m HfApiModel - meta-llama/Llama-3.1-70B-Instruct \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─ <span style=\"font-weight: bold\">Executing this code:</span> ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">1 </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">import</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> pandas </span><span style=\"color: #66d9ef; text-decoration-color: #66d9ef; background-color: #272822\">as</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> pd</span><span style=\"background-color: #272822\">                                                                                        </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">2 </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">import</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> matplotlib.pyplot </span><span style=\"color: #66d9ef; text-decoration-color: #66d9ef; background-color: #272822\">as</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> plt</span><span style=\"background-color: #272822\">                                                                            </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">3 </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">import</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> seaborn </span><span style=\"color: #66d9ef; text-decoration-color: #66d9ef; background-color: #272822\">as</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> sns</span><span style=\"background-color: #272822\">                                                                                      </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">4 </span><span style=\"background-color: #272822\">                                                                                                           </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">5 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Read the source file</span><span style=\"background-color: #272822\">                                                                                     </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">6 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> pd</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">read_csv(source_file)</span><span style=\"background-color: #272822\">                                                                              </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">7 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(df</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">head())</span><span style=\"background-color: #272822\">                                                                                           </span> │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "</pre>\n"
      ],
      "text/plain": [
       "╭─ \u001b[1mExecuting this code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m1 \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34mimport\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpandas\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mas\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpd\u001b[0m\u001b[48;2;39;40;34m                                                                                        \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m2 \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34mimport\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mmatplotlib\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpyplot\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mas\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mplt\u001b[0m\u001b[48;2;39;40;34m                                                                            \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m3 \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34mimport\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mseaborn\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mas\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msns\u001b[0m\u001b[48;2;39;40;34m                                                                                      \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m4 \u001b[0m\u001b[48;2;39;40;34m                                                                                                           \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m5 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Read the source file\u001b[0m\u001b[48;2;39;40;34m                                                                                     \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m6 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpd\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mread_csv\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msource_file\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                              \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m7 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mhead\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                           \u001b[0m │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
       "   PassengerId  Survived  Pclass  \\\n",
       "0            1         0       3   \n",
       "1            2         1       1   \n",
       "2            3         1       3   \n",
       "3            4         1       1   \n",
       "4            5         0       3   \n",
       "\n",
       "                                                Name     Sex   Age  SibSp  \\\n",
       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
       "4                           Allen, Mr. William Henry    male  35.0      0   \n",
       "\n",
       "   Parch            Ticket     Fare Cabin Embarked  \n",
       "0      0         A/5 21171   7.2500   NaN        S  \n",
       "1      0          PC 17599  71.2833   C85        C  \n",
       "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
       "3      0            113803  53.1000  C123        S  \n",
       "4      0            373450   8.0500   NaN        S  \n",
       "\n",
       "Out: None\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mExecution logs:\u001b[0m\n",
       "   PassengerId  Survived  Pclass  \\\n",
       "0            1         0       3   \n",
       "1            2         1       1   \n",
       "2            3         1       3   \n",
       "3            4         1       1   \n",
       "4            5         0       3   \n",
       "\n",
       "                                                Name     Sex   Age  SibSp  \\\n",
       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
       "4                           Allen, Mr. William Henry    male  35.0      0   \n",
       "\n",
       "   Parch            Ticket     Fare Cabin Embarked  \n",
       "0      0         A/5 21171   7.2500   NaN        S  \n",
       "1      0          PC 17599  71.2833   C85        C  \n",
       "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
       "3      0            113803  53.1000  C123        S  \n",
       "4      0            373450   8.0500   NaN        S  \n",
       "\n",
       "Out: None\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 0: Duration 6.51 seconds| Input tokens: 2,308 | Output tokens: 95]</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2m[Step 0: Duration 6.51 seconds| Input tokens: 2,308 | Output tokens: 95]\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─ <span style=\"font-weight: bold\">Executing this code:</span> ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">1 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Correlation between Pclass and Survived:\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Pclass'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">corr(df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Survived'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]))</span><span style=\"background-color: #272822\">                       </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">2 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Correlation between Age and Survived:\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Age'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">corr(df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Survived'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]))</span><span style=\"background-color: #272822\">                             </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">3 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Survival rate of male passengers:\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, df[df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Sex'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">] </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">==</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'male'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Survived'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">mean())</span><span style=\"background-color: #272822\">                      </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">4 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Survival rate of female passengers:\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, df[df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Sex'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">] </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">==</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'female'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Survived'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">mean())</span><span style=\"background-color: #272822\">                 </span> │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "</pre>\n"
      ],
      "text/plain": [
       "╭─ \u001b[1mExecuting this code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m1 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mCorrelation between Pclass and Survived:\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mPclass\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcorr\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSurvived\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                       \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m2 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mCorrelation between Age and Survived:\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAge\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcorr\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSurvived\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                             \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m3 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSurvival rate of male passengers:\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSex\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m==\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mmale\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSurvived\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mmean\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                      \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m4 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSurvival rate of female passengers:\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSex\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m==\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mfemale\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSurvived\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mmean\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                 \u001b[0m │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
       "Correlation between Pclass and Survived: -0.33848103596101525\n",
       "Correlation between Age and Survived: -0.07722109457217766\n",
       "Survival rate of male passengers: 0.18890814558058924\n",
       "Survival rate of female passengers: 0.7420382165605095\n",
       "\n",
       "Out: None\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mExecution logs:\u001b[0m\n",
       "Correlation between Pclass and Survived: -0.33848103596101525\n",
       "Correlation between Age and Survived: -0.07722109457217766\n",
       "Survival rate of male passengers: 0.18890814558058924\n",
       "Survival rate of female passengers: 0.7420382165605095\n",
       "\n",
       "Out: None\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 13.44 seconds| Input tokens: 5,121 | Output tokens: 280]</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2m[Step 1: Duration 13.44 seconds| Input tokens: 5,121 | Output tokens: 280]\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─ <span style=\"font-weight: bold\">Executing this code:</span> ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 1 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">plt</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">clf()</span><span style=\"background-color: #272822\">                                                                                                 </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 2 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Age'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">hist(bins</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">50</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                                   </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 3 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">plt</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">title(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Distribution of Ages'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                         </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 4 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">plt</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">xlabel(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Age'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                                         </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 5 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">plt</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">ylabel(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Frequency'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                                   </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 6 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">plt</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">savefig(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'./figures/age_distribution.png'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                             </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 7 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 8 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">plt</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">clf()</span><span style=\"background-color: #272822\">                                                                                                 </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 9 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">survival_rates </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> [df[df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Sex'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">] </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">==</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'male'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Survived'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">mean(), df[df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Sex'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">] </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">==</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'female'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">][</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Survived'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">mean()]</span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">10 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">sns</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">barplot(x</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Male'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Female'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">], y</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">survival_rates)</span><span style=\"background-color: #272822\">                                                       </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">11 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">plt</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">title(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Survival Rates by Sex'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                        </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">12 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">plt</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">xlabel(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Sex'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                                         </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">13 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">plt</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">ylabel(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Survival Rate'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                               </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">14 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">plt</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">savefig(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'./figures/survival_rates_by_sex.png'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                        </span> │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "</pre>\n"
      ],
      "text/plain": [
       "╭─ \u001b[1mExecuting this code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 1 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mplt\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mclf\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                                 \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 2 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAge\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mhist\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mbins\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m50\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                   \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 3 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mplt\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtitle\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mDistribution of Ages\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 4 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mplt\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mxlabel\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAge\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                         \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 5 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mplt\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mylabel\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mFrequency\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                   \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 6 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mplt\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msavefig\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m./figures/age_distribution.png\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                             \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 7 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 8 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mplt\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mclf\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                                 \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 9 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msurvival_rates\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSex\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m==\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mmale\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSurvived\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mmean\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSex\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m==\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mfemale\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSurvived\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mmean\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m10 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msns\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mbarplot\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mx\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mMale\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mFemale\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34my\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msurvival_rates\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                       \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m11 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mplt\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtitle\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSurvival Rates by Sex\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                        \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m12 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mplt\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mxlabel\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSex\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                         \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m13 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mplt\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mylabel\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSurvival Rate\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                               \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m14 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mplt\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msavefig\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m./figures/survival_rates_by_sex.png\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                        \u001b[0m │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Out: None\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Out: None\n"
      ]
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     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 16.89 seconds| Input tokens: 8,364 | Output tokens: 529]</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2m[Step 2: Duration 16.89 seconds| Input tokens: 8,364 | Output tokens: 529]\u001b[0m\n"
      ]
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     "metadata": {},
     "output_type": "display_data"
    },
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m3\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
      ]
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─ <span style=\"font-weight: bold\">Executing this code:</span> ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">1 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">final_answer(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"The analysis of the Titanic data reveals that socio-economic status and sex are significant </span><span style=\"background-color: #272822\"> </span> │\n",
       "│ <span style=\"background-color: #272822\">    </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">factors in determining survival rates. Passengers with lower socio-economic status and males are less </span><span style=\"background-color: #272822\">     </span> │\n",
       "│ <span style=\"background-color: #272822\">    </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">likely to survive. The age of a passenger has a minimal impact on their survival rate.\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                   </span> │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "</pre>\n"
      ],
      "text/plain": [
       "╭─ \u001b[1mExecuting this code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m1 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mThe analysis of the Titanic data reveals that socio-economic status and sex are significant \u001b[0m\u001b[48;2;39;40;34m \u001b[0m │\n",
       "│ \u001b[48;2;39;40;34m    \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mfactors in determining survival rates. Passengers with lower socio-economic status and males are less \u001b[0m\u001b[48;2;39;40;34m     \u001b[0m │\n",
       "│ \u001b[48;2;39;40;34m    \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mlikely to survive. The age of a passenger has a minimal impact on their survival rate.\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                   \u001b[0m │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Out - Final answer: The analysis of the Titanic data reveals that socio-economic status and sex are significant </span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">factors in determining survival rates. Passengers with lower socio-economic status and males are less likely to </span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">survive. The age of a passenger has a minimal impact on their survival rate.</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;38;2;212;183;2mOut - Final answer: The analysis of the Titanic data reveals that socio-economic status and sex are significant \u001b[0m\n",
       "\u001b[1;38;2;212;183;2mfactors in determining survival rates. Passengers with lower socio-economic status and males are less likely to \u001b[0m\n",
       "\u001b[1;38;2;212;183;2msurvive. The age of a passenger has a minimal impact on their survival rate.\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 3: Duration 8.23 seconds| Input tokens: 12,063 | Output tokens: 684]</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2m[Step 3: Duration 8.23 seconds| Input tokens: 12,063 | Output tokens: 684]\u001b[0m\n"
      ]
     },
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     "output_type": "display_data"
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    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "additional_notes = \"\"\"\n",
    "### Variable Notes\n",
    "pclass: A proxy for socio-economic status (SES)\n",
    "1st = Upper\n",
    "2nd = Middle\n",
    "3rd = Lower\n",
    "age: Age is fractional if less than 1. If the age is estimated, is it in the form of xx.5\n",
    "sibsp: The dataset defines family relations in this way...\n",
    "Sibling = brother, sister, stepbrother, stepsister\n",
    "Spouse = husband, wife (mistresses and fiancés were ignored)\n",
    "parch: The dataset defines family relations in this way...\n",
    "Parent = mother, father\n",
    "Child = daughter, son, stepdaughter, stepson\n",
    "Some children travelled only with a nanny, therefore parch=0 for them.\n",
    "\"\"\"\n",
    "\n",
    "analysis = agent.run(\n",
    "    \"\"\"You are an expert data analyst.\n",
    "Please load the source file and analyze its content.\n",
    "According to the variables you have, begin by listing 3 interesting questions that could be asked on this data, for instance about specific correlations with survival rate.\n",
    "Then answer these questions one by one, by finding the relevant numbers.\n",
    "Meanwhile, plot some figures using matplotlib/seaborn and save them to the (already existing) folder './figures/': take care to clear each figure with plt.clf() before doing another plot.\n",
    "\n",
    "In your final answer: summarize these correlations and trends\n",
    "After each number derive real worlds insights, for instance: \"Correlation between is_december and boredness is 1.3453, which suggest people are more bored in winter\".\n",
    "Your final answer should have at least 3 numbered and detailed parts.\n",
    "\"\"\",\n",
    "    additional_args=dict(\n",
    "        additional_notes=additional_notes,\n",
    "        source_file=\"titanic/train.csv\"\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The analysis of the Titanic data reveals that socio-economic status and sex are significant factors in determining survival rates. Passengers with lower socio-economic status and males are less likely to survive. The age of a passenger has a minimal impact on their survival rate.\n"
     ]
    }
   ],
   "source": [
    "print(analysis)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Impressive, isn't it? You could also provide your agent with a visualizer tool to let it reflect upon its own graphs!\n",
    "\n",
    "## Data scientist agent: Run predictions 🛠️\n",
    "\n",
    "👉 Now let's dig further: **we will let our model perform predictions on the data.**\n",
    "\n",
    "To do so, we also let it use `sklearn` in the `additional_authorized_imports`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">You are an expert machine learning engineer.</span>                                                                    <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Please train a ML model on \"titanic/train.csv\" to predict the survival for rows of \"titanic/test.csv\".</span>          <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Output the results under './output.csv'.</span>                                                                        <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Take care to import functions and modules before using them!</span>                                                    <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">You have been provided with these additional arguments, that you can access using the keys as variables in your</span> <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">python code:</span>                                                                                                    <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">{'additional_notes': '\\n### Variable Notes\\npclass: A proxy for socio-economic status (SES)\\n1st = Upper\\n2nd =</span> <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Middle\\n3rd = Lower\\nage: Age is fractional if less than 1. If the age is estimated, is it in the form of </span>      <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">xx.5\\nsibsp: The dataset defines family relations in this way...\\nSibling = brother, sister, stepbrother, </span>      <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">stepsister\\nSpouse = husband, wife (mistresses and fiancés were ignored)\\nparch: The dataset defines family </span>    <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">relations in this way...\\nParent = mother, father\\nChild = daughter, son, stepdaughter, stepson\\nSome children </span> <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">travelled only with a nanny, therefore parch=0 for them.\\n\\nThe analysis of the Titanic data reveals that </span>      <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">socio-economic status and sex are significant factors in determining survival rates. Passengers with lower </span>     <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">socio-economic status and males are less likely to survive. The age of a passenger has a minimal impact on </span>     <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">their survival rate.'}.</span>                                                                                         <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ HfApiModel - meta-llama/Llama-3.1-70B-Instruct ────────────────────────────────────────────────────────────────╯</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mYou are an expert machine learning engineer.\u001b[0m                                                                    \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mPlease train a ML model on \"titanic/train.csv\" to predict the survival for rows of \"titanic/test.csv\".\u001b[0m          \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mOutput the results under './output.csv'.\u001b[0m                                                                        \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mTake care to import functions and modules before using them!\u001b[0m                                                    \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mYou have been provided with these additional arguments, that you can access using the keys as variables in your\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mpython code:\u001b[0m                                                                                                    \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m{'additional_notes': '\\n### Variable Notes\\npclass: A proxy for socio-economic status (SES)\\n1st = Upper\\n2nd =\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mMiddle\\n3rd = Lower\\nage: Age is fractional if less than 1. If the age is estimated, is it in the form of \u001b[0m      \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mxx.5\\nsibsp: The dataset defines family relations in this way...\\nSibling = brother, sister, stepbrother, \u001b[0m      \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mstepsister\\nSpouse = husband, wife (mistresses and fiancés were ignored)\\nparch: The dataset defines family \u001b[0m    \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mrelations in this way...\\nParent = mother, father\\nChild = daughter, son, stepdaughter, stepson\\nSome children \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mtravelled only with a nanny, therefore parch=0 for them.\\n\\nThe analysis of the Titanic data reveals that \u001b[0m      \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1msocio-economic status and sex are significant factors in determining survival rates. Passengers with lower \u001b[0m     \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1msocio-economic status and males are less likely to survive. The age of a passenger has a minimal impact on \u001b[0m     \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mtheir survival rate.'}.\u001b[0m                                                                                         \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
       "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m HfApiModel - meta-llama/Llama-3.1-70B-Instruct \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
       "</pre>\n"
      ],
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       "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m0\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
      ]
     },
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     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─ <span style=\"font-weight: bold\">Executing this code:</span> ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">1 </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">import</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> pandas </span><span style=\"color: #66d9ef; text-decoration-color: #66d9ef; background-color: #272822\">as</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> pd</span><span style=\"background-color: #272822\">                                                                                        </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">2 </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">import</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> numpy </span><span style=\"color: #66d9ef; text-decoration-color: #66d9ef; background-color: #272822\">as</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> np</span><span style=\"background-color: #272822\">                                                                                         </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">3 </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">from</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> sklearn.model_selection </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">import</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> train_test_split</span><span style=\"background-color: #272822\">                                                       </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">4 </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">from</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> sklearn.ensemble </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">import</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> RandomForestClassifier</span><span style=\"background-color: #272822\">                                                        </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">5 </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">from</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> sklearn.metrics </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">import</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> accuracy_score</span><span style=\"background-color: #272822\">                                                                 </span> │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "</pre>\n"
      ],
      "text/plain": [
       "╭─ \u001b[1mExecuting this code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m1 \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34mimport\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpandas\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mas\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpd\u001b[0m\u001b[48;2;39;40;34m                                                                                        \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m2 \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34mimport\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mnumpy\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mas\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mnp\u001b[0m\u001b[48;2;39;40;34m                                                                                         \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m3 \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34mfrom\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msklearn\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mmodel_selection\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34mimport\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtrain_test_split\u001b[0m\u001b[48;2;39;40;34m                                                       \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m4 \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34mfrom\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msklearn\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mensemble\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34mimport\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mRandomForestClassifier\u001b[0m\u001b[48;2;39;40;34m                                                        \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m5 \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34mfrom\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msklearn\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mmetrics\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34mimport\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34maccuracy_score\u001b[0m\u001b[48;2;39;40;34m                                                                 \u001b[0m │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
      ]
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     "output_type": "display_data"
    },
    {
     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Out: None\n",
       "</pre>\n"
      ],
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       "Out: None\n"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 0: Duration 23.22 seconds| Input tokens: 2,238 | Output tokens: 185]</span>\n",
       "</pre>\n"
      ],
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       "\u001b[2m[Step 0: Duration 23.22 seconds| Input tokens: 2,238 | Output tokens: 185]\u001b[0m\n"
      ]
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
       "</pre>\n"
      ],
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       "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
      ]
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    },
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─ <span style=\"font-weight: bold\">Executing this code:</span> ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">1 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">train_df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> pd</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">read_csv(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"titanic/train.csv\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">2 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(train_df</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">head())  </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Print the first few rows of the DataFrame</span><span style=\"background-color: #272822\">                                        </span> │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "</pre>\n"
      ],
      "text/plain": [
       "╭─ \u001b[1mExecuting this code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m1 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtrain_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpd\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mread_csv\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtitanic/train.csv\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m2 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtrain_df\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mhead\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Print the first few rows of the DataFrame\u001b[0m\u001b[48;2;39;40;34m                                        \u001b[0m │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Execution logs:</span>\n",
       "   PassengerId  Survived  Pclass  \\\n",
       "0            1         0       3   \n",
       "1            2         1       1   \n",
       "2            3         1       3   \n",
       "3            4         1       1   \n",
       "4            5         0       3   \n",
       "\n",
       "                                                Name     Sex   Age  SibSp  \\\n",
       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
       "4                           Allen, Mr. William Henry    male  35.0      0   \n",
       "\n",
       "   Parch            Ticket     Fare Cabin Embarked  \n",
       "0      0         A/5 21171   7.2500   NaN        S  \n",
       "1      0          PC 17599  71.2833   C85        C  \n",
       "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
       "3      0            113803  53.1000  C123        S  \n",
       "4      0            373450   8.0500   NaN        S  \n",
       "\n",
       "Out: None\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mExecution logs:\u001b[0m\n",
       "   PassengerId  Survived  Pclass  \\\n",
       "0            1         0       3   \n",
       "1            2         1       1   \n",
       "2            3         1       3   \n",
       "3            4         1       1   \n",
       "4            5         0       3   \n",
       "\n",
       "                                                Name     Sex   Age  SibSp  \\\n",
       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
       "4                           Allen, Mr. William Henry    male  35.0      0   \n",
       "\n",
       "   Parch            Ticket     Fare Cabin Embarked  \n",
       "0      0         A/5 21171   7.2500   NaN        S  \n",
       "1      0          PC 17599  71.2833   C85        C  \n",
       "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
       "3      0            113803  53.1000  C123        S  \n",
       "4      0            373450   8.0500   NaN        S  \n",
       "\n",
       "Out: None\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 13.93 seconds| Input tokens: 4,754 | Output tokens: 508]</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2m[Step 1: Duration 13.93 seconds| Input tokens: 4,754 | Output tokens: 508]\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─ <span style=\"font-weight: bold\">Executing this code:</span> ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 1 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Train a random forest classifier on the training data</span><span style=\"background-color: #272822\">                                                   </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 2 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">rfc </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> RandomForestClassifier(n_estimators</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">100</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, random_state</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">42</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                           </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 3 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">rfc</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">fit(X_train, y_train)</span><span style=\"background-color: #272822\">                                                                                 </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 4 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 5 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Make predictions on the testing data</span><span style=\"background-color: #272822\">                                                                    </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 6 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">y_pred </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> rfc</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">predict(X_test)</span><span style=\"background-color: #272822\">                                                                              </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 7 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 8 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Evaluate the accuracy of the model</span><span style=\"background-color: #272822\">                                                                      </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 9 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">accuracy </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> accuracy_score(y_test, y_pred)</span><span style=\"background-color: #272822\">                                                                 </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">10 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">print(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"Accuracy:\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, accuracy)</span><span style=\"background-color: #272822\">                                                                              </span> │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "</pre>\n"
      ],
      "text/plain": [
       "╭─ \u001b[1mExecuting this code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 1 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Train a random forest classifier on the training data\u001b[0m\u001b[48;2;39;40;34m                                                   \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 2 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrfc\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mRandomForestClassifier\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mn_estimators\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m100\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrandom_state\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m42\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                           \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 3 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrfc\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfit\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mX_train\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34my_train\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                 \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 4 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 5 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Make predictions on the testing data\u001b[0m\u001b[48;2;39;40;34m                                                                    \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 6 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34my_pred\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrfc\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpredict\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mX_test\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                              \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 7 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 8 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Evaluate the accuracy of the model\u001b[0m\u001b[48;2;39;40;34m                                                                      \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 9 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34maccuracy\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34maccuracy_score\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34my_test\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34my_pred\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                 \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m10 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAccuracy:\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34maccuracy\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                              \u001b[0m │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
      ]
     },
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     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Code execution failed: could not convert string to float: </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">'Braund, Mr. Owen Harris'</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;31mCode execution failed: could not convert string to float: \u001b[0m\u001b[1;31m'Braund, Mr. Owen Harris'\u001b[0m\n"
      ]
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 6.33 seconds| Input tokens: 7,995 | Output tokens: 643]</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2m[Step 2: Duration 6.33 seconds| Input tokens: 7,995 | Output tokens: 643]\u001b[0m\n"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
       "</pre>\n"
      ],
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       "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m3\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
      ]
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─ <span style=\"font-weight: bold\">Executing this code:</span> ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 1 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Load the test data</span><span style=\"background-color: #272822\">                                                                                      </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 2 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">test_df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> pd</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">read_csv(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"titanic/test.csv\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                 </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 3 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 4 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Prepare the test data</span><span style=\"background-color: #272822\">                                                                                   </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 5 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">test_df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Age'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">] </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> test_df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Age'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">fillna(test_df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Age'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">mean())</span><span style=\"background-color: #272822\">                                             </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 6 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">test_df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> test_df</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">drop([</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Cabin'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Ticket'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">], axis</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">1</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                       </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 7 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 8 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># One-hot encoding for categorical variables</span><span style=\"background-color: #272822\">                                                              </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 9 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">test_df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> pd</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">get_dummies(test_df, columns</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Sex'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Embarked'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">])</span><span style=\"background-color: #272822\">                                            </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">10 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">11 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Define the features for the test data</span><span style=\"background-color: #272822\">                                                                   </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">12 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">X_test </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> test_df</span><span style=\"background-color: #272822\">                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">13 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">14 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Train a random forest classifier on the training data</span><span style=\"background-color: #272822\">                                                   </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">15 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">rfc </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> RandomForestClassifier(n_estimators</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">100</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, random_state</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">42</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                           </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">16 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">rfc</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">fit(X_train, y_train)</span><span style=\"background-color: #272822\">                                                                                 </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">17 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">18 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Make predictions on the test data</span><span style=\"background-color: #272822\">                                                                       </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">19 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">y_pred </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> rfc</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">predict(X_test)</span><span style=\"background-color: #272822\">                                                                              </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">20 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">21 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Save the predictions to a DataFrame</span><span style=\"background-color: #272822\">                                                                     </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">22 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">submission_df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> pd</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">DataFrame({</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'PassengerId'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: test_df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'PassengerId'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">], </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Survived'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: y_pred})</span><span style=\"background-color: #272822\">                 </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">23 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">24 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Save the DataFrame to a CSV file</span><span style=\"background-color: #272822\">                                                                        </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">25 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">submission_df</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">to_csv(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'./output.csv'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, index</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #66d9ef; text-decoration-color: #66d9ef; background-color: #272822\">False</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                         </span> │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "</pre>\n"
      ],
      "text/plain": [
       "╭─ \u001b[1mExecuting this code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 1 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Load the test data\u001b[0m\u001b[48;2;39;40;34m                                                                                      \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 2 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpd\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mread_csv\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtitanic/test.csv\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                 \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 3 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 4 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Prepare the test data\u001b[0m\u001b[48;2;39;40;34m                                                                                   \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 5 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAge\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAge\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfillna\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAge\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mmean\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                             \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 6 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdrop\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mCabin\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mTicket\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34maxis\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m1\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                       \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 7 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 8 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# One-hot encoding for categorical variables\u001b[0m\u001b[48;2;39;40;34m                                                              \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 9 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpd\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mget_dummies\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcolumns\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSex\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mEmbarked\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                            \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m10 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m11 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Define the features for the test data\u001b[0m\u001b[48;2;39;40;34m                                                                   \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m12 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mX_test\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[48;2;39;40;34m                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m13 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m14 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Train a random forest classifier on the training data\u001b[0m\u001b[48;2;39;40;34m                                                   \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m15 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrfc\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mRandomForestClassifier\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mn_estimators\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m100\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrandom_state\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m42\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                           \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m16 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrfc\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfit\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mX_train\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34my_train\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                 \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m17 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m18 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Make predictions on the test data\u001b[0m\u001b[48;2;39;40;34m                                                                       \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m19 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34my_pred\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrfc\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpredict\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mX_test\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                              \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m20 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m21 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Save the predictions to a DataFrame\u001b[0m\u001b[48;2;39;40;34m                                                                     \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m22 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msubmission_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpd\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mDataFrame\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mPassengerId\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mPassengerId\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSurvived\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34my_pred\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                 \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m23 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m24 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Save the DataFrame to a CSV file\u001b[0m\u001b[48;2;39;40;34m                                                                        \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m25 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msubmission_df\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mto_csv\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m./output.csv\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mindex\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mFalse\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                         \u001b[0m │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Code execution failed: could not convert string to float: </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">'Braund, Mr. Owen Harris'</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;31mCode execution failed: could not convert string to float: \u001b[0m\u001b[1;31m'Braund, Mr. Owen Harris'\u001b[0m\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 3: Duration 13.12 seconds| Input tokens: 11,552 | Output tokens: 943]</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2m[Step 3: Duration 13.12 seconds| Input tokens: 11,552 | Output tokens: 943]\u001b[0m\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
       "</pre>\n"
      ],
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       "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m4\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
      ]
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     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─ <span style=\"font-weight: bold\">Executing this code:</span> ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 1 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Load the test data</span><span style=\"background-color: #272822\">                                                                                      </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 2 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">test_df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> pd</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">read_csv(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"titanic/test.csv\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                 </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 3 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 4 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Prepare the test data</span><span style=\"background-color: #272822\">                                                                                   </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 5 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">test_df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Age'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">] </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> test_df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Age'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">fillna(test_df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Age'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">mean())</span><span style=\"background-color: #272822\">                                             </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 6 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">test_df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> test_df</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">drop([</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Cabin'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Ticket'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Name'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">], axis</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">1</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                               </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 7 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 8 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># One-hot encoding for categorical variables</span><span style=\"background-color: #272822\">                                                              </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 9 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">test_df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> pd</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">get_dummies(test_df, columns</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Sex'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Embarked'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">])</span><span style=\"background-color: #272822\">                                            </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">10 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">11 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Align the features of the test data with the training data</span><span style=\"background-color: #272822\">                                              </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">12 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">test_df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> test_df</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">reindex(columns </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> X</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">columns, fill_value</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                              </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">13 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">14 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Train a random forest classifier on the training data</span><span style=\"background-color: #272822\">                                                   </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">15 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">rfc </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> RandomForestClassifier(n_estimators</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">100</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, random_state</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">42</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                           </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">16 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">rfc</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">fit(X, y)</span><span style=\"background-color: #272822\">                                                                                             </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">17 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">18 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Make predictions on the test data</span><span style=\"background-color: #272822\">                                                                       </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">19 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">y_pred </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> rfc</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">predict(test_df)</span><span style=\"background-color: #272822\">                                                                             </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">20 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">21 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Save the predictions to a DataFrame</span><span style=\"background-color: #272822\">                                                                     </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">22 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">submission_df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> pd</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">DataFrame({</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'PassengerId'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: test_df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'PassengerId'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">], </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Survived'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: y_pred})</span><span style=\"background-color: #272822\">                 </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">23 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">24 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Save the DataFrame to a CSV file</span><span style=\"background-color: #272822\">                                                                        </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">25 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">submission_df</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">to_csv(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'./output.csv'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, index</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #66d9ef; text-decoration-color: #66d9ef; background-color: #272822\">False</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                         </span> │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "</pre>\n"
      ],
      "text/plain": [
       "╭─ \u001b[1mExecuting this code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 1 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Load the test data\u001b[0m\u001b[48;2;39;40;34m                                                                                      \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 2 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpd\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mread_csv\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtitanic/test.csv\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                 \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 3 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 4 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Prepare the test data\u001b[0m\u001b[48;2;39;40;34m                                                                                   \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 5 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAge\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAge\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfillna\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAge\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mmean\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                             \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 6 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdrop\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mCabin\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mTicket\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mName\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34maxis\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m1\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                               \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 7 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 8 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# One-hot encoding for categorical variables\u001b[0m\u001b[48;2;39;40;34m                                                              \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 9 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpd\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mget_dummies\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcolumns\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSex\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mEmbarked\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                            \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m10 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m11 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Align the features of the test data with the training data\u001b[0m\u001b[48;2;39;40;34m                                              \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m12 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mreindex\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcolumns\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mX\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcolumns\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfill_value\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                              \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m13 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m14 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Train a random forest classifier on the training data\u001b[0m\u001b[48;2;39;40;34m                                                   \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m15 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrfc\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mRandomForestClassifier\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mn_estimators\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m100\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrandom_state\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m42\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                           \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m16 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrfc\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfit\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mX\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34my\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                             \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m17 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m18 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Make predictions on the test data\u001b[0m\u001b[48;2;39;40;34m                                                                       \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m19 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34my_pred\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrfc\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpredict\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                             \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m20 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m21 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Save the predictions to a DataFrame\u001b[0m\u001b[48;2;39;40;34m                                                                     \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m22 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msubmission_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpd\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mDataFrame\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mPassengerId\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mPassengerId\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSurvived\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34my_pred\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                 \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m23 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m24 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Save the DataFrame to a CSV file\u001b[0m\u001b[48;2;39;40;34m                                                                        \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m25 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msubmission_df\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mto_csv\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m./output.csv\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mindex\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mFalse\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                         \u001b[0m │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Code execution failed: Code execution failed at line </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">'test_df = test_df.reindex(columns = X.columns, fill_value=0)'</span>\n",
       "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">because of the following error:</span>\n",
       "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">The variable `X` is not defined.</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;31mCode execution failed: Code execution failed at line \u001b[0m\u001b[1;31m'test_df = test_df.reindex\u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mcolumns = X.columns, \u001b[0m\u001b[1;31mfill_value\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;31m0\u001b[0m\u001b[1;31m)\u001b[0m\u001b[1;31m'\u001b[0m\n",
       "\u001b[1;31mbecause of the following error:\u001b[0m\n",
       "\u001b[1;31mThe variable `X` is not defined.\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 4: Duration 12.40 seconds| Input tokens: 15,751 | Output tokens: 1,235]</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2m[Step 4: Duration 12.40 seconds| Input tokens: 15,751 | Output tokens: 1,235]\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m5\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─ <span style=\"font-weight: bold\">Executing this code:</span> ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 1 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Load the training data</span><span style=\"background-color: #272822\">                                                                                  </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 2 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">train_df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> pd</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">read_csv(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"titanic/train.csv\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                               </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 3 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 4 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Prepare the training data</span><span style=\"background-color: #272822\">                                                                               </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 5 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">train_df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Age'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">] </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> train_df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Age'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">fillna(train_df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Age'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">mean())</span><span style=\"background-color: #272822\">                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 6 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">train_df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> train_df</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">drop([</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Cabin'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Ticket'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Name'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">], axis</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">1</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                             </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 7 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 8 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># One-hot encoding for categorical variables</span><span style=\"background-color: #272822\">                                                              </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\"> 9 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">train_df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> pd</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">get_dummies(train_df, columns</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Sex'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Embarked'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">])</span><span style=\"background-color: #272822\">                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">10 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">11 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Define the features and target</span><span style=\"background-color: #272822\">                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">12 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">X </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> train_df</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">drop(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Survived'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, axis</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">1</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                     </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">13 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">y </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> train_df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Survived'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"background-color: #272822\">                                                                                  </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">14 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">15 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Load the test data</span><span style=\"background-color: #272822\">                                                                                      </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">16 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">test_df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> pd</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">read_csv(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"titanic/test.csv\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                 </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">17 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">18 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Prepare the test data</span><span style=\"background-color: #272822\">                                                                                   </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">19 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">test_df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Age'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">] </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> test_df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Age'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">fillna(test_df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Age'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">]</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">mean())</span><span style=\"background-color: #272822\">                                             </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">20 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">test_df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> test_df</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">drop([</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Cabin'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Ticket'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Name'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">], axis</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">1</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                               </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">21 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">22 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># One-hot encoding for categorical variables</span><span style=\"background-color: #272822\">                                                              </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">23 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">test_df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> pd</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">get_dummies(test_df, columns</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Sex'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Embarked'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">])</span><span style=\"background-color: #272822\">                                            </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">24 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">25 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Align the features of the test data with the training data</span><span style=\"background-color: #272822\">                                              </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">26 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">test_df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> test_df</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">reindex(columns </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> X</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">columns, fill_value</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">0</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                              </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">27 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">28 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Train a random forest classifier on the training data</span><span style=\"background-color: #272822\">                                                   </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">29 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">rfc </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> RandomForestClassifier(n_estimators</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">100</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, random_state</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #ae81ff; text-decoration-color: #ae81ff; background-color: #272822\">42</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                           </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">30 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">rfc</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">fit(X, y)</span><span style=\"background-color: #272822\">                                                                                             </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">31 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">32 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Make predictions on the test data</span><span style=\"background-color: #272822\">                                                                       </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">33 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">y_pred </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> rfc</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">predict(test_df)</span><span style=\"background-color: #272822\">                                                                             </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">34 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">35 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Save the predictions to a DataFrame</span><span style=\"background-color: #272822\">                                                                     </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">36 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">submission_df </span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\"> pd</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">DataFrame({</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'PassengerId'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: test_df[</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'PassengerId'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">], </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'Survived'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">: y_pred})</span><span style=\"background-color: #272822\">                 </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">37 </span><span style=\"background-color: #272822\">                                                                                                          </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">38 </span><span style=\"color: #959077; text-decoration-color: #959077; background-color: #272822\"># Save the DataFrame to a CSV file</span><span style=\"background-color: #272822\">                                                                        </span> │\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">39 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">submission_df</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">.</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">to_csv(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'./output.csv'</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">, index</span><span style=\"color: #ff4689; text-decoration-color: #ff4689; background-color: #272822\">=</span><span style=\"color: #66d9ef; text-decoration-color: #66d9ef; background-color: #272822\">False</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                         </span> │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "</pre>\n"
      ],
      "text/plain": [
       "╭─ \u001b[1mExecuting this code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 1 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Load the training data\u001b[0m\u001b[48;2;39;40;34m                                                                                  \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 2 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtrain_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpd\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mread_csv\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtitanic/train.csv\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                               \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 3 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 4 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Prepare the training data\u001b[0m\u001b[48;2;39;40;34m                                                                               \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 5 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtrain_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAge\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtrain_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAge\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfillna\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtrain_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAge\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mmean\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 6 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtrain_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtrain_df\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdrop\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mCabin\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mTicket\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mName\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34maxis\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m1\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                             \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 7 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 8 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# One-hot encoding for categorical variables\u001b[0m\u001b[48;2;39;40;34m                                                              \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m 9 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtrain_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpd\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mget_dummies\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtrain_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcolumns\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSex\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mEmbarked\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m10 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m11 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Define the features and target\u001b[0m\u001b[48;2;39;40;34m                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m12 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mX\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtrain_df\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdrop\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSurvived\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34maxis\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m1\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                     \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m13 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34my\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtrain_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSurvived\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[48;2;39;40;34m                                                                                  \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m14 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m15 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Load the test data\u001b[0m\u001b[48;2;39;40;34m                                                                                      \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m16 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpd\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mread_csv\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtitanic/test.csv\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                 \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m17 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m18 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Prepare the test data\u001b[0m\u001b[48;2;39;40;34m                                                                                   \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m19 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAge\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAge\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfillna\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAge\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mmean\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                             \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m20 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdrop\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mCabin\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mTicket\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mName\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34maxis\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m1\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                               \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m21 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m22 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# One-hot encoding for categorical variables\u001b[0m\u001b[48;2;39;40;34m                                                              \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m23 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpd\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mget_dummies\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcolumns\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSex\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mEmbarked\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                            \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m24 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m25 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Align the features of the test data with the training data\u001b[0m\u001b[48;2;39;40;34m                                              \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m26 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mreindex\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcolumns\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mX\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcolumns\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfill_value\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                              \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m27 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m28 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Train a random forest classifier on the training data\u001b[0m\u001b[48;2;39;40;34m                                                   \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m29 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrfc\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mRandomForestClassifier\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mn_estimators\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m100\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrandom_state\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m42\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                           \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m30 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrfc\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfit\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mX\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34my\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                             \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m31 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m32 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Make predictions on the test data\u001b[0m\u001b[48;2;39;40;34m                                                                       \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m33 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34my_pred\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mrfc\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpredict\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                             \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m34 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m35 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Save the predictions to a DataFrame\u001b[0m\u001b[48;2;39;40;34m                                                                     \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m36 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msubmission_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpd\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mDataFrame\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mPassengerId\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtest_df\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mPassengerId\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSurvived\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34my_pred\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                 \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m37 \u001b[0m\u001b[48;2;39;40;34m                                                                                                          \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m38 \u001b[0m\u001b[38;2;149;144;119;48;2;39;40;34m# Save the DataFrame to a CSV file\u001b[0m\u001b[48;2;39;40;34m                                                                        \u001b[0m │\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m39 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msubmission_df\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mto_csv\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m./output.csv\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mindex\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mFalse\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                         \u001b[0m │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Out: None\n",
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       "Out: None\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 5: Duration 16.43 seconds| Input tokens: 20,624 | Output tokens: 1,614]</span>\n",
       "</pre>\n"
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       "\u001b[2m[Step 5: Duration 16.43 seconds| Input tokens: 20,624 | Output tokens: 1,614]\u001b[0m\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
       "</pre>\n"
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       "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m6\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">╭─ <span style=\"font-weight: bold\">Executing this code:</span> ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ <span style=\"color: #e3e3dd; text-decoration-color: #e3e3dd; background-color: #272822; font-weight: bold\">  </span><span style=\"color: #656660; text-decoration-color: #656660; background-color: #272822\">1 </span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">final_answer(</span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">\"The model has been trained and the predictions have been saved to a CSV file named </span><span style=\"background-color: #272822\">          </span> │\n",
       "│ <span style=\"background-color: #272822\">    </span><span style=\"color: #e6db74; text-decoration-color: #e6db74; background-color: #272822\">'output.csv'.\"</span><span style=\"color: #f8f8f2; text-decoration-color: #f8f8f2; background-color: #272822\">)</span><span style=\"background-color: #272822\">                                                                                            </span> │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "</pre>\n"
      ],
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       "╭─ \u001b[1mExecuting this code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ \u001b[1;38;2;227;227;221;48;2;39;40;34m  \u001b[0m\u001b[38;2;101;102;96;48;2;39;40;34m1 \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mThe model has been trained and the predictions have been saved to a CSV file named \u001b[0m\u001b[48;2;39;40;34m          \u001b[0m │\n",
       "│ \u001b[48;2;39;40;34m    \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34moutput.csv\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m.\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m                                                                                            \u001b[0m │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n"
      ]
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     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">Out - Final answer: The model has been trained and the predictions have been saved to a CSV file named </span>\n",
       "<span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">'output.csv'.</span>\n",
       "</pre>\n"
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       "\u001b[1;38;2;212;183;2mOut - Final answer: The model has been trained and the predictions have been saved to a CSV file named \u001b[0m\n",
       "\u001b[1;38;2;212;183;2m'output.csv'.\u001b[0m\n"
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     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 6: Duration 3.00 seconds| Input tokens: 26,342 | Output tokens: 1,677]</span>\n",
       "</pre>\n"
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       "\u001b[2m[Step 6: Duration 3.00 seconds| Input tokens: 26,342 | Output tokens: 1,677]\u001b[0m\n"
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   ],
   "source": [
    "agent = CodeAgent(\n",
    "    tools=[],\n",
    "    model=model,\n",
    "    additional_authorized_imports=[\n",
    "        \"numpy\",\n",
    "        \"pandas\",\n",
    "        \"matplotlib.pyplot\",\n",
    "        \"seaborn\",\n",
    "        \"sklearn\",\n",
    "    ],\n",
    "    max_iterations=12,\n",
    ")\n",
    "\n",
    "output = agent.run(\n",
    "    \"\"\"You are an expert machine learning engineer.\n",
    "Please train a ML model on \"titanic/train.csv\" to predict the survival for rows of \"titanic/test.csv\".\n",
    "Output the results under './output.csv'.\n",
    "Take care to import functions and modules before using them!\n",
    "\"\"\",\n",
    "    additional_args=dict(additional_notes=additional_notes + \"\\n\" + analysis)\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Even though the agent got a few errors, it managed to correctly solve the problem in the end!\n",
    "\n",
    "The test predictions that the agent output above, once submitted to Kaggle, score **0.78229**, which is #2824 out of 17,360, and better than what I had painfully achieved when first trying the challenge years ago.\n",
    "\n",
    "Your result will vary, but anyway I find it very impressive to achieve this with an agent in a few seconds.\n",
    "\n",
    "🚀 The above is just a naive attempt with agent data analyst: it can certainly be improved a lot to fit your use case better!"
   ]
  }
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